Mcp Filesystem

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What is Mcp Filesystem

The Model Context Protocol (MCP) is a framework that enables secure and controlled access for Large Language Models (LLMs) to various tools and data sources. This repository provides reference implementations and community-built servers, showcasing the versatility and extensibility of MCP in enhancing LLM functionality.

Use cases

MCP can be applied in numerous scenarios, such as AI-driven image generation, web content fetching, database interaction, and project management through integration with platforms like Slack, AWS, and Google Drive. It facilitates LLMs in executing tasks across diverse domains including knowledge retrieval, automation, and data analysis.

How to use

MCP servers can be easily utilized with command line tools. Typescript-based servers can be launched using npx, while Python-based servers can be started with uvx or pip. Users can also configure their MCP clients (like Claude Desktop) to integrate various servers by specifying their commands and arguments in a JSON configuration format.

Key features

Key features of MCP include enabling dynamic access to external resources, controlled data operations, and secure integrations with APIs. The protocol supports structured workflows and logging, allowing for efficient collaboration between LLMs and the specified tools, tailored to user needs.

Where to use

MCP can be used in diverse environments including development settings for LLM applications, enterprise applications for task automation, and academic research for exploring model capabilities. It is suitable for projects requiring data-driven decision-making, real-time information retrieval, and integration with popular software platforms.

Overview

What is Mcp Filesystem

Use cases

How to use

Key features

Where to use

Content

Model Context Protocol servers

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references
to community built servers and additional resources.

The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
Each MCP server is implemented with either the Typescript MCP SDK or Python MCP SDK.

🌟 Reference Servers

These servers aim to demonstrate MCP features and the Typescript and Python SDK.

AWS KB Retrieval - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
Brave Search - Web and local search using Brave’s Search API
EverArt - AI image generation using various models
Fetch - Web content fetching and conversion for efficient LLM usage
Filesystem - Secure file operations with configurable access controls
Git - Tools to read, search, and manipulate Git repositories
GitHub - Repository management, file operations, and GitHub API integration
GitLab - GitLab API, enabling project management
Google Drive - File access and search capabilities for Google Drive
Google Maps - Location services, directions, and place details
Memory - Knowledge graph-based persistent memory system
PostgreSQL - Read-only database access with schema inspection
Puppeteer - Browser automation and web scraping
Sentry - Retrieving and analyzing issues from Sentry.io
Sequential Thinking - Dynamic and reflective problem-solving through thought sequences
Slack - Channel management and messaging capabilities
Sqlite - Database interaction and business intelligence capabilities

🤝 Third-Party Servers

🎖️ Official Integrations

Official integrations are maintained by companies building production ready MCP servers for their platforms.

Axiom - Query and analyze your Axiom logs, traces, and all other event data in natural language
Browserbase - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
Cloudflare - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
Raygun - Interact with your crash reporting and real using monitoring data on your Raygun account
Obsidian Markdown Notes - Read and search through your Obsidian vault or any directory containing Markdown notes
E2B - Run code in secure sandboxes hosted by E2B
Neon - Interact with the Neon serverless Postgres platform
Tinybird - Interact with Tinybird serverless ClickHouse platform
Search1API - One API for Search, Crawling, and Sitemaps
Qdrant - Implement semantic memory layer on top of the Qdrant vector search engine

🌎 Community Servers

A growing set of community-developed and maintained servers demonstrates various applications of MCP across different domains.

Note: Community servers are untested and should be used at your own risk. They are not affiliated with or endorsed by Anthropic.

MCP Installer - This server is a server that installs other MCP servers for you.
NS Travel Information - Access Dutch Railways (NS) real-time train travel information and disruptions through the official NS API.
Spotify - This MCP allows an LLM to play and use Spotify.
Inoyu - Interact with an Apache Unomi CDP customer data platform to retrieve and update customer profiles
Snowflake - This MCP server enables LLMs to interact with Snowflake databases, allowing for secure and controlled data operations.
MySQL - MySQL database integration with configurable access controls and schema inspection
MSSQL - MSSQL database integration with configurable access controls and schema inspection
BigQuery (by LucasHild) - This server enables LLMs to inspect database schemas and execute queries on BigQuery.
BigQuery (by ergut) - Server implementation for Google BigQuery integration that enables direct BigQuery database access and querying capabilities
Todoist - Interact with Todoist to manage your tasks.
Tavily search - An MCP server for Tavily’s search & news API, with explicit site inclusions/exclusions
Linear - Allows LLM to interact with Linear’s API for project management, including searching, creating, and updating issues.
Playwright - This MCP Server will help you run browser automation and webscraping using Playwright
AWS - Perform operations on your AWS resources using an LLM
LlamaCloud (by marcusschiesser) - Integrate the data stored in a managed index on LlamaCloud
Any Chat Completions - Interact with any OpenAI SDK Compatible Chat Completions API like OpenAI, Perplexity, Groq, xAI and many more.
Windows CLI - MCP server for secure command-line interactions on Windows systems, enabling controlled access to PowerShell, CMD, and Git Bash shells.
OpenRPC - Interact with and discover JSON-RPC APIs via OpenRPC.
FireCrawl - Advanced web scraping with JavaScript rendering, PDF support, and smart rate limiting
AlphaVantage - MCP server for stock market data API AlphaVantage
Docker - Integrate with Docker to manage containers, images, volumes, and networks.
Kubernetes - Connect to Kubernetes cluster and manage pods, deployments, and services.
OpenAPI - Interact with OpenAPI APIs.
Pandoc - MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, and plain text, with other formats like PDF, csv and docx in development.
HuggingFace Spaces - Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models and more. Claude Desktop mode for easy integration.
ChatSum - Query and Summarize chat messages with LLM. by mcpso
Rememberizer AI - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval.

📚 Resources

Additional resources on MCP.

Awesome MCP Servers by punkpeye (website) - A curated list of MCP servers by Frank Fiegel
Awesome MCP Servers by wong2 (website) - A curated list of MCP servers by wong2
Awesome MCP Servers by appcypher - A curated list of MCP servers by Stephen Akinyemi
Discord Server – A community discord server dedicated to MCP by Frank Fiegel
mcp-get - Command line tool for installing and managing MCP servers by Michael Latman
mcp-cli - A CLI inspector for the Model Context Protocol by wong2
r/mcp – A Reddit community dedicated to MCP by Frank Fiegel
mcp-manager - Simple Web UI to install and manage MCP servers for Claude Desktop by Zue

🚀 Getting Started

Using MCP Servers in this Repository

Typescript-based servers in this repository can be used directly with npx.

For example, this will start the Memory server:

npx -y @modelcontextprotocol/server-memory

Python-based servers in this repository can be used directly with uvx or pip. uvx is recommended for ease of use and setup.

For example, this will start the Git server:

# With uvx
uvx mcp-server-git

# With pip
pip install mcp-server-git
python -m mcp_server_git

Follow these instructions to install uv / uvx and these to install pip.

Using an MCP Client

However, running a server on its own isn’t very useful, and should instead be configured into an MCP client. For example, here’s the Claude Desktop configuration to use the above server:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Additional examples of using the Claude Desktop as an MCP client might look like:

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/files"
      ]
    },
    "git": {
      "command": "uvx",
      "args": [
        "mcp-server-git",
        "--repository",
        "path/to/git/repo"
      ]
    },
    "github": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-github"
      ],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    },
    "postgres": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-postgres",
        "postgresql://localhost/mydb"
      ]
    }
  }
}

MCP Filesystem Server Setup

This repository contains the configuration and setup for connecting the MCP filesystem server to Claude Desktop.

Installation

Install the MCP filesystem server globally:

npm install -g @modelcontextprotocol/server-filesystem

Configure Claude Desktop to use the filesystem server by editing %APPDATA%/Claude/config.json:

{
  "mcpServers": {
    "filesystem": {
      "command": "node",
      "args": [
        "C:\\Users\\USER\\AppData\\Roaming\\npm\\node_modules\\@modelcontextprotocol\\server-filesystem\\dist\\index.js",
        "C:\\Users\\USER\\Desktop"
      ],
      "useStdio": true
    }
  },
  "mcpDebugLogging": true
}

Key Points

The server uses stdio mode for communication with Claude Desktop
Absolute paths are used to avoid path resolution issues
The server is configured to allow access to the Desktop directory

Troubleshooting

If you encounter connection issues:

Make sure Claude Desktop is completely closed
Check the logs in %APPDATA%/Claude/logs/
Restart Claude Desktop to apply configuration changes

🛠️ Creating Your Own Server

Interested in creating your own MCP server? Visit the official documentation at modelcontextprotocol.io for comprehensive guides, best practices, and technical details on implementing MCP servers.

🤝 Contributing

See CONTRIBUTING.md for information about contributing to this repository.

🔒 Security

See SECURITY.md for reporting security vulnerabilities.

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

💬 Community

GitHub Discussions

⭐ Support

If you find MCP servers useful, please consider starring the repository and contributing new servers or improvements!

Managed by Anthropic, but built together with the community. The Model Context Protocol is open source and we encourage everyone to contribute their own servers and improvements!

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Mcp Filesystem

What is Mcp Filesystem

Use cases

How to use

Key features

Where to use

Overview

What is Mcp Filesystem

Use cases

How to use

Key features

Where to use

Content

Model Context Protocol servers

🌟 Reference Servers

🤝 Third-Party Servers

📚 Resources

🚀 Getting Started

MCP Filesystem Server Setup

Installation

Key Points

Troubleshooting

🛠️ Creating Your Own Server

🤝 Contributing

🔒 Security

📜 License

💬 Community

⭐ Support

Tools

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